Patentable/Patents/US-11402811
US-11402811

Cross-sensor predictive inference

PublishedAugust 2, 2022
Assigneenot available in USPTO data we have
Inventorsnot available in USPTO data we have
Technical Abstract

There is a need for solutions for efficiently and reliably perform sensor-based predictive data analysis. This need can be addressed by, for example, solutions for performing cross-sensor predictive data analysis. In one example, a method for performing cross-sensor predictive data analysis includes identifying sensor input data objects comprising one or more image data objects; determining sensor feature data objects based on the sensor input data objects; generating predictions for a target predictive entity associated with the sensor input data objects by processing the sensor feature data objects using a cross-sensor predictive inference model; and performing prediction-based actions based on the cross-sensor predictions.

Patent Claims
6 claims

Legal claims defining the scope of protection, as filed with the USPTO.

2

2. The computer-implemented method of claim 1, wherein the plurality of feature extraction models comprises a convolutional neural network.

3

3. The computer-implemented method of claim 1, wherein the plurality of feature extraction models comprises a capsule-based machine learning model.

5

5. The computer-implemented method of claim 1, wherein the feature definition model is defined based at least in part on one or more inferential properties of the target predictive entity.

6

6. The computer-implemented method of claim 1, wherein the feature definition model is defined based at least in part on a feature confidence measure for each potential observation metric of the one or more potential observation metrics.

8

8. The computer-implemented method of claim 7, wherein the model confidence threshold value is determined based at least in part on a generic model confidence measure for the generic model.

10

10. The computer-implemented method of claim 9, wherein determining the first feature extraction model further comprises determining first feature extraction model based at least in part on each training intensity measure for a model generating device of the one or more model generating devices.

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Patent Metadata

Filing Date

December 2, 2019

Publication Date

August 2, 2022

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Cite as: Patentable. “Cross-sensor predictive inference” (US-11402811). https://patentable.app/patents/US-11402811

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